Calibration of a semi-distributed hydrological model using discharge and remote sensing data
In Yilmaz, K. K.; Yucel, I.; Gupta, H. V.; Wagener, T.; Yang, D.; Savenije, H.; Neale, C.; Kunstmann, H.; Pomeroy, J. (Eds.). New approaches to hydrological prediction in data-sparse regions: proceedings of Symposium HS.2 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH), Hyderabad, India, 6-12 September 2009. Wallingford, UK: International Association of Hydrological Sciences (IAHS).
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Formato: | Conference Paper biblioteca |
Idioma: | English |
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2009
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Materias: | hydrology, models, calibration, stream flow, evapotranspiration, simulation, discharges, remote sensing, rivers, catchment areas, time series analysis, |
Acceso en línea: | https://hdl.handle.net/10568/38593 |
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dig-cgspace-10568-385932023-06-08T20:25:38Z Calibration of a semi-distributed hydrological model using discharge and remote sensing data Muthuwatta, Lal P. Booij, M.J. Rientjes, T.H.M. Bos, M.G. Gieske, A.S. M. Ahmad, Mobin-ud-Din hydrology models calibration stream flow evapotranspiration simulation discharges remote sensing rivers catchment areas time series analysis In Yilmaz, K. K.; Yucel, I.; Gupta, H. V.; Wagener, T.; Yang, D.; Savenije, H.; Neale, C.; Kunstmann, H.; Pomeroy, J. (Eds.). New approaches to hydrological prediction in data-sparse regions: proceedings of Symposium HS.2 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH), Hyderabad, India, 6-12 September 2009. Wallingford, UK: International Association of Hydrological Sciences (IAHS). IAHS Publication 333 The objective of this study is to present an approach to calibrate a semi-distributed hydrological model using observed streamflow data and actual evapotranspiration time series estimates based on remote sensing data. First, daily actual evapotranspiration is estimated using available MODIS satellite data, routinely collected meteorological data and applying the SEBS algorithm. Second, the semi-distributed hydrological model HBV is calibrated and validated using the estimated evapotranspiration and observed discharge. This is done for multiple sub-basins of the Karkheh River basin in Iran. The Nash-Sutcliffe coefficient (NS) is calculated for each sub-basin. Maximum and minimum NS values for the calibration using observed discharge are 0.81 and 0.23, respectively, and using estimated evapotranspiration 0.61 and 0.46, respectively. The comparison of model simulations with multiple observed variables increases the probability of selecting a parameter set that represents the actual hydrological situation of the basin. The new calibration approach can be useful for further applications especially in data sparse river basins. 2009 2014-06-13T11:42:29Z 2014-06-13T11:42:29Z Conference Paper Muthuwatta, Lal P.; Booij, M. J.; Rientjes, T. H. M.; Bos, M. G.; Gieske, A. S. M.; Ahmad, Mobin-ud-Din. 2009. Calibration of a semi-distributed hydrological model using discharge and remote sensing data. In Yilmaz, K. K.; Yucel, I.; Gupta, H. V.; Wagener, T.; Yang, D.; Savenije, H.; Neale, C.; Kunstmann, H.; Pomeroy, J. (Eds.). New approaches to hydrological prediction in data-sparse regions: proceedings of Symposium HS.2 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH), Hyderabad, India, 6-12 September 2009. Wallingford, UK: International Association of Hydrological Sciences (IAHS). pp.52-58. (IAHS Publication 333) https://hdl.handle.net/10568/38593 en Limited Access p. 52-58 |
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Biblioteca del CGIAR |
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English |
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hydrology models calibration stream flow evapotranspiration simulation discharges remote sensing rivers catchment areas time series analysis hydrology models calibration stream flow evapotranspiration simulation discharges remote sensing rivers catchment areas time series analysis |
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hydrology models calibration stream flow evapotranspiration simulation discharges remote sensing rivers catchment areas time series analysis hydrology models calibration stream flow evapotranspiration simulation discharges remote sensing rivers catchment areas time series analysis Muthuwatta, Lal P. Booij, M.J. Rientjes, T.H.M. Bos, M.G. Gieske, A.S. M. Ahmad, Mobin-ud-Din Calibration of a semi-distributed hydrological model using discharge and remote sensing data |
description |
In Yilmaz, K. K.; Yucel, I.; Gupta, H. V.; Wagener, T.; Yang, D.; Savenije, H.; Neale, C.; Kunstmann, H.; Pomeroy, J. (Eds.). New approaches to hydrological prediction in data-sparse regions: proceedings of Symposium HS.2 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH), Hyderabad, India, 6-12 September 2009. Wallingford, UK: International Association of Hydrological Sciences (IAHS). |
format |
Conference Paper |
topic_facet |
hydrology models calibration stream flow evapotranspiration simulation discharges remote sensing rivers catchment areas time series analysis |
author |
Muthuwatta, Lal P. Booij, M.J. Rientjes, T.H.M. Bos, M.G. Gieske, A.S. M. Ahmad, Mobin-ud-Din |
author_facet |
Muthuwatta, Lal P. Booij, M.J. Rientjes, T.H.M. Bos, M.G. Gieske, A.S. M. Ahmad, Mobin-ud-Din |
author_sort |
Muthuwatta, Lal P. |
title |
Calibration of a semi-distributed hydrological model using discharge and remote sensing data |
title_short |
Calibration of a semi-distributed hydrological model using discharge and remote sensing data |
title_full |
Calibration of a semi-distributed hydrological model using discharge and remote sensing data |
title_fullStr |
Calibration of a semi-distributed hydrological model using discharge and remote sensing data |
title_full_unstemmed |
Calibration of a semi-distributed hydrological model using discharge and remote sensing data |
title_sort |
calibration of a semi-distributed hydrological model using discharge and remote sensing data |
publishDate |
2009 |
url |
https://hdl.handle.net/10568/38593 |
work_keys_str_mv |
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1779061476723523584 |